Search (55 results, page 1 of 3)

  • × theme_ss:"Informationsdienstleistungen"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Wan-Chik, R.; Clough, P.; Sanderson, M.: Investigating religious information searching through analysis of a search engine log (2013) 0.14
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    Abstract
    In this paper we present results from an investigation of religious information searching based on analyzing log files from a large general-purpose search engine. From approximately 15 million queries, we identified 124,422 that were part of 60,759 user sessions. We present a method for categorizing queries based on related terms and show differences in search patterns between religious searches and web searching more generally. We also investigate the search patterns found in queries related to 5 religions: Christianity, Hinduism, Islam, Buddhism, and Judaism. Different search patterns are found to emerge. Results from this study complement existing studies of religious information searching and provide a level of detailed analysis not reported to date. We show, for example, that sessions involving religion-related queries tend to last longer, that the lengths of religion-related queries are greater, and that the number of unique URLs clicked is higher when compared to all queries. The results of the study can serve to provide information on what this large population of users is actually searching for.
  2. Hughes, B.; Wareham, J.; Joshi, I.: Doctors' online information needs, cognitive search strategies, and judgments of information quality and cognitive authority : how predictive judgments introduce bias into cognitive search models (2010) 0.07
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    Abstract
    Literature examining information judgments and Internet search behaviors notes a number of major research gaps, including how users actually make these judgments outside of experiments or researcher-defined tasks, and how search behavior is impacted by a user's judgment of online information. Using the medical setting, where doctors face real consequences in applying the information found, we examine how information judgments employed by doctors to mitigate risk impact their cognitive search. Diaries encompassing 444 real clinical information search incidents, combined with semistructured interviews across 35 doctors, were analyzed via thematic analysis. Results show that doctors, though aware of the need for information quality and cognitive authority, rarely make evaluative judgments. This is explained by navigational bias in information searches and via predictive judgments that favor known sites where doctors perceive levels of information quality and cognitive authority. Doctors' mental models of the Internet sites and Web experience relevant to the task type enable these predictive judgments. These results suggest a model connecting online cognitive search and information judgment literatures. Moreover, this implies a need to understand cognitive search through longitudinal- or learning-based views for repeated search tasks, and adaptations to medical practitioner training and tools for online search.
  3. Lin, S.; Xie, I.: Behavioral changes in transmuting multisession successive searches over the web (2013) 0.06
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    Abstract
    Multisession successive information searches are common but little research has focused on quantitative analysis. This article enhances our understanding of successive information searches by employing an experimental method to observe whether and how the behavioral characteristics of searchers statistically significantly changed over sessions. It focuses on a specific type of successive search called transmuting successive searches, in which searchers learn about and gradually refine their information problems during the course of the information search. The results show that searchers' behavioral characteristics indeed exhibit different patterns in different sessions. The identification of the behavioral characteristics can help information retrieval systems to detect stages or sessions of the information search process. The findings also help validate a theoretical framework to explain successive searches and suggest system requirements for supporting the associated search behavior. The study is one of the first to not only test for statistical significance among research propositions concerning successive searches but to also apply the research principles of implicit relevance feedback to successive searches.
  4. Fattahi, R.; Dokhtesmati, M.; Saberi, M.: ¬A survey of internet searching skills among intermediate school students : how librarians can help (2010) 0.05
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    Abstract
    The advent and development of the Internet has changed students' pattern of information seeking behaviors. That is also the case in Iran. The current research was carried out by interviewing with and observing of 20 intermediate girl students to assess their information seeking behavior on the web environment through a qualitative approach. Findings indicate an acceptable level of access to the Internet and vast use of web search engines by the girl students in Tehran. However, students' knowledge of the concept and how search engines work and also about the methods and tools of retrieving information from electronic sources other than the search engines is poor. The study also shows that, compared to the Internet, the role of libraries and librarians are gradually diminishing in fulfilling the students' information needs. Authors recommend that school librarians can provide different instructional and information literacy programs to help students improve their information seeking behavior and their knowledge of the Internet.
  5. Bodoff, D.; Raban, D.: User models as revealed in web-based research services (2012) 0.04
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    Abstract
    The user-centered approach to information retrieval emphasizes the importance of a user model in determining what information will be most useful to a particular user, given their context. Mediated search provides an opportunity to elaborate on this idea, as an intermediary's elicitations reveal what aspects of the user model they think are worth inquiring about. However, empirical evidence is divided over whether intermediaries actually work to develop a broadly conceived user model. Our research revisits the issue in a web research services setting, whose characteristics are expected to result in more thorough user modeling on the part of intermediaries. Our empirical study confirms that intermediaries engage in rich user modeling. While intermediaries behave differently across settings, our interpretation is that the underlying user model characteristics that intermediaries inquire about in our setting are applicable to other settings as well.
  6. Smith, C.L.; Matteson, M.L.: Information literacy in the age of machines that learn : desiderata for machines that teach (2018) 0.04
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    Abstract
    With the use of machine learning and other advances, modern information search systems make it easy for searchers to access information to meet their most frequent information needs. Building from Kuhlthau's concepts of exploration and differentiating, this article argues that along with the benefits of greater accessibility, these advances impede the development of information literacy, conceptualized as processes for planning, accessing, judging and communicating information. It is argued that information literacy emerges during interaction with search systems and modern system designs hide or render unworkable the contextual information needed for the judgment processes of information literacy. In response to these concerns, the article contributes desiderata for new designs that facilitate the discovery, navigation and use of context information.
    Date
    16. 3.2019 14:33:22
  7. Niu, X.; Hemminger, B.M.; Lown, C.; Adams, S.; Brown, C.; Level, A.; McLure, M.; Powers, A.; Tennant, M.R.; Cataldo, T.: National study of information seeking behavior of academic researchers in the United States (2010) 0.04
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    Abstract
    As new technologies and information delivery systems emerge, the way in which individuals search for information to support research, teaching, and creative activities is changing. To understand different aspects of researchers' information-seeking behavior, this article surveyed 2,063 academic researchers in natural science, engineering, and medical science from five research universities in the United States. A Web-based, in-depth questionnaire was designed to quantify researchers' information searching, information use, and information storage behaviors. Descriptive statistics are reported. Additionally, analysis of results is broken out by institutions to compare differences among universities. Significant findings are reported, with the biggest changes because of increased utilization of electronic methods for searching, sharing, and storing scholarly content, as well as for utilizing library services. Generally speaking, researchers in the five universities had similar information-seeking behavior, with small differences because of varying academic unit structures and myriad library services provided at the individual institutions.
  8. Le, L.T.; Shah, C.: Retrieving people : identifying potential answerers in Community Question-Answering (2018) 0.04
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    Abstract
    Community Question-Answering (CQA) sites have become popular venues where people can ask questions, seek information, or share knowledge with a user community. Although responses on CQA sites are obviously slower than information retrieved by a search engine, one of the most frustrating aspects of CQAs occurs when an asker's posted question does not receive a reasonable answer or remains unanswered. CQA sites could improve users' experience by identifying potential answerers and routing appropriate questions to them. In this paper, we predict the potential answerers based on question content and user profiles. Our approach builds user profiles based on past activity. When a new question is posted, the proposed method computes scores between the question and all user profiles to find the potential answerers. We conduct extensive experimental evaluations on two popular CQA sites - Yahoo! Answers and Stack Overflow - to show the effectiveness of our algorithm. The results show that our technique is able to predict a small group of 1000 users from which at least one user will answer the question with a probability higher than 50% in both CQA sites. Further analysis indicates that topic interest and activity level can improve the correctness of our approach.
  9. Bertram, J.: Stand der unternehmensweiten Suche in österreichischen Großunternehmen (2013) 0.03
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    Abstract
    Dass eine erfolgreiche Suche nach im Unternehmen vorhandenen Informationen oftmals schwieriger zu bewerkstelligen ist als eine Suche im Internet, wird in der Privatwirtschaft zunehmend als Problem gesehen. Enterprise Search ist eine Strategie, diesem Problem zu begegnen. In einer Studie mit explorativem Charakter wurde der Frage nachgegangen, wie es um den Stand unternehmensweiten Suche in österreichischen Unternehmen bestellt ist. m Rahmen einer Onlinebefragung wurden dazu im März / April 2009 469 Unternehmen befragt. Es beteiligten sich 104 Unternehmen. Das entspricht einem Rücklauf von 22 %. Dieser Beitrag gibt Auskunft über Status quo der unternehmensweiten Informationsorganisation und -suche in Österreich und benennt unternehmens- bzw. personengebundene Faktoren, die darauf Einfluss haben. Im einzelnen werden Ergebnisse zu folgenden Aspekten präsentiert: Regelung der Informationsorganisation; Anreicherung unstrukturierter Informationen mit Metadaten; Probleme bei der Suche nach unternehmensinternen Informationen; täglicher Zeitaufwand für die Suche; vorhandene, wünschenswerte und benötigte Suchfunktionalitäten; Zufriedenheit mit der Suche und der Informationsorganisation Unternehmen.
    Date
    22. 1.2016 19:00:02
  10. Sahib, N.G.; Tombros, A.; Stockman, T.: ¬A comparative analysis of the information-seeking behavior of visually impaired and sighted searchers (2012) 0.03
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    Abstract
    Understanding search behavior is important and leads to more effective interfaces that support searchers throughout the search process. In this article, through an observational user study, we investigate the search behavior of 15 visually impaired and 15 sighted searchers while they complete complex search tasks online. We study complex search tasks because they are challenging, cognitively intensive and affect performance of searchers. We compare the behavior of the two groups of searchers at four stages of the information-seeking process namely, Query Formulation, Search Results Exploration, Query Reformulation, and Search Results Management. For each stage, we identify research questions to investigate the impact of speech-based screen readers on the information-seeking behavior of visually impaired users. Significant differences were observed during query formulation and in the use of query-level support features such as query suggestions and spelling suggestions. In addition, screen-reader users submitted a lower number of queries and displayed comparatively limited exploratory behavior during search results exploration. We investigate how a lack of visual cues affected visually impaired searchers' approach towards query reformulation and observed different strategies to manage and use information encountered during the search process. We discuss the implications that our findings have for the design of search interfaces and propose a set of design guidelines to consider when designing interfaces that are usable and accessible with screen readers. This work also enhances our understanding of search behavior when using an auditory interface and could be useful when designing audio-based information retrieval systems.
  11. Cleverley, P.H.; Burnett, S.; Muir, L.: Exploratory information searching in the enterprise : a study of user satisfaction and task performance (2017) 0.03
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    Abstract
    No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high-value items, others found none, with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology, not capability, a lack of systems thinking. Furthermore, organizations may not "know" they "don't know" their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels.
  12. Lercher, A.: Efficiency of scientific communication : a survey of world science (2010) 0.02
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    Abstract
    The aim of this study was to measure the efficiency of the system by which scientists worldwide communicate results to each other, providing one measure of the degree to which the system, including all media, functions well. A randomly selected and representative sample of 246 active research scientists worldwide was surveyed. The main measure was the reported rate of "late finds": scientific literature that would have been useful to scientists' projects if it had been found at the beginning of these projects. The main result was that 46% of the sample reported late finds (±6.25%, p0.05). Among respondents from European Union countries or other countries classified as "high income" by the World Bank, 42% reported late finds. Among respondents from low- and middle-income countries, 56% reported late finds. The 42% rate in high-income countries in 2009 can be compared with results of earlier surveys by Martyn (1964a, b, 1987). These earlier surveys found a rate of 22% late finds in 1963-1964 and a rate of 27% in 1985-1986. Respondents were also queried about search habits, but this study failed to support any explanations for this increase in the rate of late finds. This study also permits a crude estimate of the cost in time and money of the increase in late finds.
  13. Smith, C.L.: Domain-independent search expertise : a description of procedural knowledge gained during guided instruction (2015) 0.02
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    Abstract
    This longitudinal study examined the search behavior of 10 students as they completed assigned exercises for an online professional course in expert searching. The research objective was to identify, describe, and hypothesize about features of the behavior that are indicative of procedural knowledge gained during guided instruction. Log-data of search interaction were coded using a conceptual framework focused on components of search practice hypothesized to organize an expert searcher's attention during search. The coded data were analyzed using a measure of pointwise mutual information and state-transition analysis. Results of the study provide important insight for future investigation of domain-independent search expertise and for the design of systems that assist searchers in gaining expertise.
  14. Li, Y.; Belkin, N.J.: ¬An exploration of the relationships between work task and interactive information search behavior (2010) 0.02
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    Abstract
    This study explores the relationships between work task and interactive information search behavior. Work task was conceptualized based on a faceted classification of task. An experiment was conducted with six work-task types and simulated work-task situations assigned to 24 participants. The results indicate that users present different behavior patterns to approach useful information for different work tasks: They select information systems to search based on the work tasks at hand, different work tasks motivate different types of search tasks, and different facets controlled in the study play different roles in shaping users' interactive information search behavior. The results provide empirical evidence to support the view that work tasks and search tasks play different roles in a user's interaction with information systems and that work task should be considered as a multifaceted variable. The findings provide a possibility to make predictions of a user's information search behavior from his or her work task, and vice versa. Thus, this study sheds light on task-based information seeking and search, and has implications in adaptive information retrieval (IR) and personalization of IR.
  15. Zhang, X.; Liu, J.; Cole, M.; Belkin, N.: Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors (2015) 0.02
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    Abstract
    User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by applying a regression modeling analysis method. We identify behavioral features that contribute most to a successful prediction model. A user experiment was conducted with 40 participants searching on task topics in the domain of genomics. Participant domain knowledge level was assessed based on the users' familiarity with and expertise in the search topics and their knowledge of MeSH (Medical Subject Headings) terms in the categories that corresponded to the search topics. Users' search behaviors were captured by logging software, which includes querying behaviors, document selection behaviors, and general task interaction behaviors. Multiple regression analysis was run on the behavioral data using different variable selection methods. Four successful predictive models were identified, each involving a slightly different set of behavioral variables. The models were compared for the best on model fit, significance of the model, and contributions of individual predictors in each model. Each model was validated using the split sampling method. The final model highlights three behavioral variables as domain knowledge level predictors: the number of documents saved, the average query length, and the average ranking position of the documents opened. The results are discussed, study limitations are addressed, and future research directions are suggested.
  16. Chew, S.W.; Khoo, K.S.G.: Comparison of drug information on consumer drug review sites versus authoritative health information websites (2016) 0.02
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    Abstract
    Large amounts of health-related information of different types are available on the web. In addition to authoritative health information sites maintained by government health departments and healthcare institutions, there are many social media sites carrying user-contributed information. This study sought to identify the types of drug information available on consumer-contributed drug review sites when compared with authoritative drug information websites. Content analysis was performed on the information available for nine drugs on three authoritative sites (RxList, eMC, and PDRhealth) as well as three drug review sites (WebMD, RateADrug, and PatientsLikeMe). The types of information found on authoritative sites but rarely on drug review sites include pharmacology, special population considerations, contraindications, and drug interactions. Types of information found only on drug review sites include drug efficacy, drug resistance experienced by long-term users, cost of drug in relation to insurance coverage, availability of generic forms, comparison with other similar drugs and with other versions of the drug, difficulty in using the drug, and advice on coping with side effects. Drug efficacy ratings by users were found to be different across the three sites. Side effects were vividly described in context, with user assessment of severity based on discomfort and effect on their lives.
    Date
    22. 1.2016 12:24:05
  17. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.02
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    Abstract
    We report a naturalistic interactive information retrieval (IIR) study of 18 ordinary users in the age of 20-25 who carry out everyday-life information seeking (ELIS) on the Internet with respect to the three types of information needs identified by Ingwersen (1986): the verificative information need (VIN), the conscious topical information need (CIN), and the muddled topical information need (MIN). The searches took place in the private homes of the users in order to ensure as realistic searching as possible. Ingwersen (1996) associates a given search behaviour to each of the three types of information needs, which are analytically deduced, but not yet empirically tested. Thus the objective of the study is to investigate whether empirical data does, or does not, conform to the predictions derived from the three types of information needs. The main conclusion is that the analytically deduced information search behaviour characteristics by Ingwersen are positively corroborated for this group of test participants who search the Internet as part of ELIS.
  18. Freund, L.: Contextualizing the information-seeking behavior of software engineers (2015) 0.02
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    Abstract
    Information seeking in the workplace can vary substantially from one search to the next due to changes in the context of the search. Modeling these dynamic contextual effects is an important challenge facing the research community because it has the potential to lead to more responsive search systems. With this motivation, a study of software engineers was conducted to understand the role that contextual factors play in shaping their information-seeking behavior. Research was conducted in the field in a large technology company and comprised six unstructured interviews, a focus group, and 13 in-depth, semistructured interviews. Qualitative analysis revealed a set of contextual factors and related information behaviors. Results are formalized in the contextual model of source selection, the main contributions of which are the identification of two types of conditioning variables (requirements and constraints) that mediate between the contextual factors and source-selection decisions, and the articulation of dominant source-selection patterns. The study has implications for the design of context-sensitive search systems in this domain and may inform contextual approaches to information seeking in other professional domains.
  19. Görtz, M.: aktuelle Herausforderungen wissenschaftlicher Ansätze zur Modellierung von Informationsverhalten : Informationssuchverhalten und das Social Web (2010) 0.02
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    Abstract
    In Zeiten zunehmend wissensintensiver Berufsbilder besteht eine große Herausforderung heutiger Unternehmen darin, die zur Unterstützung organisatorischen Handelns erforderliche Information effizient und effektiv zur Verfügung zu stellen. Eine Grundlage für die Entwicklung einer adäquaten Informationsumgebung legt dabei das umfassende Verständnis des Kontexts und Verhaltens von Mitarbeitern im Umgang mit Information. Beides unterliegt jedoch einem steten Wandel und stellt hohe Anforderungen an die Flexibilität von Arbeitsplatzkonzepten und der Gestaltung von Informationsumgebungen. In diesem Artikel wird daher die aktuelle Bedeutung und Entwicklung informationswissenschaftlicher Ansätze zur Modellierung von Informationssuchverhalten, deren Methoden, sowie zentrale Konzepte und Erkenntnisse vorgestellt. Anschließend wird die Bedeutung dieser Modelle für den Arbeitsplatz-Kontext in Zeiten zunehmend wissensintensiver Tätigkeiten untersucht. Anhand der Wandlung des primär informativ genutzten Internet zu einem partizipativen Social Web wird daraufhin erörtert, welche neuen Entwicklungen es in der Erforschung des Nutzerkontexts zu berücksichtigen gilt. Die beispielhafte Betrachtung aktueller Forschungsergebnisse auf diesem Gebiet mündet in einer Diskussion weiteren Forschungsbedarfs.
    Object
    Web 2.0
  20. Ude, A.: Journalistische Recherche im Internet (2011) 0.01
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    Abstract
    Eine Recherche im Web kann für die journalistische Recherche zielführend sein. Es müssen jedoch einige Dinge beachtet werden. So eignet sich etwa die Wikipedia mehr als Rechercheeinstieg denn als Allheilmittel. Auch sollten über die Universalsuchmaschinen hinaus die erweiterte Suche und Spezialsuchmaschinen genutzt werden. Es empfiehlt sich das Anlegen eines Rechercheprotokolls zur Unterstützung einer systematischen Recherche. Auch das Verifizieren von Quellen ist notwendig. Dieser Text bietet nach einigen - negativen wie positiven - Beispielen zu den genannten Punkten Empfehlungen für den journalistischen Umgang mit Suchmaschinen, anderen Suchwerkzeugen sowie Hinweise für strukturierte Internet-Recherchen.
    Source
    Handbuch Internet-Suchmaschinen, 2: Neue Entwicklungen in der Web-Suche. Hrsg.: D. Lewandowski